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About the Role
We are hiring research scientists to improve the real-world performance of our foundation models. The work involves planning targeted data generation campaigns, designing evals that accurately measure model performance, and formulating post-training recipes aimed at making models useful for real drug discovery problems. We prioritize simple, robust methods over intricate solutions built for narrow problems. We particularly value researchers who can formalize messy biological problems using methods from other fields. You will work in tight loops with our pre-training researchers, research engineers and science team. Your work will ship fast and you'll see your results reach real therapeutic programs across industry.
Responsibilities
- Planning targeted data generation campaigns
- Designing evals that accurately measure model performance
- Formulating post-training recipes aimed at making models useful for real drug discovery problems
- Formalizing messy biological problems using methods from other fields
Requirements
- Published research in machine learning for protein, antibody, or small-molecule modelling
- Fluency in the technical details of protein language, structure prediction, and design models (AlphaFold, RFDiffusion, ProteinMPNN, ESM, etc)
- Strong quantitative background (CS, math, or physics), particularly in probability, statistics, and machine learning
- Deep software engineering expertise, with experience working in large codebases
Skills
- Machine learning
- Protein modelling
- Antibody modelling
- Small-molecule modelling
- Protein language models
- Protein structure prediction models
- Protein design models
- Probability
- Statistics
- Machine learning
- Software engineering
Experience Level
- Rising talent
Benefits
- Opportunity to work at the vanguard of AI research and frontier biology
- Work with world-class people
- Work on a mission that matters
- Culture of high velocity and ownership
- Competitive compensation
About the Company
- Chai Discovery builds the computer-aided design suite for molecules.
- Eli Lilly, GSK, Pfizer, Bristol Myers Squibb, argenx and Novartis all use Chai to power drug discovery programs.
- AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.
- We train frontier models that learn the underlying foundations of biochemical structure and interaction.
- We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.
- We value diverse perspectives and are ready to find greatness in unexpected places.